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Table 3 MAR correlation coefficients (r) and p-values (p)

From: Enhancement of accuracy and efficiency for RNA secondary structure prediction by sequence segmentation and MapReduce

  

Non-pseudoknotted sequences

Pseudoknotted sequences

Prediction

 

R

C

O

R

C

O

IPknot

r

-0.2077

-0.2141

-0.1629

0.1379

0.1572

0.0841

 

p

0.1478

0.1354

0.2582

0.5303

0.4738

0.7028

pknotsRG

r

-0.1550

-0.0670

-0.0756

0.2030

0.1971

0.1987

 

p

0.2825

0.6437

0.6018

0.3528

0.3673

0.3634

HotKnots

r

-0.1434

-0.0476

-0.0732

-0.0360

-0.0669

-0.0855

 

p

0.3204

0.7428

0.6136

0.8705

0.7618

0.6982

NUPACK

r

-0.1622

-0.0137

-0.0059

-0.0532

0.0666

-0.1331

 

p

0.2604

0.9249

0.9676

0.8340

0.7928

0.5986

PKNOTS

r

0.4598

0.7053

0.7045

-0.0233

0.1001

0.0597

 

p

0.0008

0.0000

0.0000

0.9294

0.7023

0.8199

UNAFold

r

-0.1449

-0.1055

-0.1311

   
 

p

0.3155

0.4658

0.3643

   

RNAfold

r

-0.1056

-0.0646

-0.0538

   
 

p

0.4654

0.6559

0.7104

   
  1. Correlation coefficients (r) between MAR and sequence lengths and corresponding p-values (p) when testing for a negative correlation.